{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.2.2+rocm5.7", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "token-classification", "library": "transformers", "model": "microsoft/deberta-v3-base", "processor": "microsoft/deberta-v3-base", "device": "cuda", "device_ids": "0", "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "hub_kwargs": {}, "no_weights": true, "device_map": null, "torch_dtype": null, "eval_mode": true, "to_bettertransformer": false, "low_cpu_mem_usage": null, "attn_implementation": null, "cache_implementation": null, "autocast_enabled": false, "autocast_dtype": null, "torch_compile": false, "torch_compile_target": "forward", "torch_compile_config": {}, "quantization_scheme": null, "quantization_config": {}, "deepspeed_inference": false, "deepspeed_inference_config": {}, "peft_type": null, "peft_config": {} }, "scenario": { "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 1, "duration": 1, "warmup_runs": 1, "input_shapes": { "batch_size": 1, "num_choices": 2, "sequence_length": 2 }, "new_tokens": null, "latency": true, "memory": true, "energy": false, "forward_kwargs": {}, "generate_kwargs": { "max_new_tokens": 2, "min_new_tokens": 2 }, "call_kwargs": { "num_inference_steps": 2 } }, "launcher": { "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": true, "device_isolation_action": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 128, "cpu_ram_mb": 1082015.236096, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "Advanced Micro Devices, Inc. [AMD/ATI]" ], "gpu_count": 1, "gpu_vram_mb": 68702699520, "optimum_benchmark_version": "0.2.1", "optimum_benchmark_commit": "3b8c49a169ebd79001b2a83fbf2b332612417102", "transformers_version": "4.42.3", "transformers_commit": null, "accelerate_version": "0.31.0", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.7", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "forward": { "memory": { "unit": "MB", "max_ram": 1028.337664, "max_global_vram": 1122.848768, "max_process_vram": 230386.999296, "max_reserved": 773.849088, "max_allocated": 745.087488 }, "latency": { "unit": "s", "count": 74, "total": 1.0020138673782346, "mean": 0.013540727937543713, "stdev": 0.0006016985314960902, "p50": 0.013315743446350097, "p90": 0.014179993343353273, "p95": 0.01501592364311218, "p99": 0.015651348972320556, "values": [ 0.01441269588470459, 0.015482928276062012, 0.0156499662399292, 0.0156550874710083, 0.013830459594726563, 0.0135955810546875, 0.013451102256774903, 0.013602782249450683, 0.013790619850158692, 0.0136087007522583, 0.013761340141296386, 0.014014138221740722, 0.01383862018585205, 0.0152189302444458, 0.013433663368225098, 0.013167425155639649, 0.013187264442443848, 0.013243424415588378, 0.013198464393615723, 0.013201663970947266, 0.0139006986618042, 0.01378950023651123, 0.013032546043395996, 0.0132642240524292, 0.013039905548095703, 0.01329558277130127, 0.01305862522125244, 0.013419742584228516, 0.013421982765197753, 0.01327126407623291, 0.013040865898132324, 0.013106945037841797, 0.013658141136169434, 0.013708861351013183, 0.01361526107788086, 0.01411973762512207, 0.013216705322265624, 0.01313142490386963, 0.013357502937316895, 0.013355743408203126, 0.013168384552001953, 0.013772380828857423, 0.013078946113586426, 0.01312470531463623, 0.013449982643127441, 0.013102945327758788, 0.013297344207763672, 0.013334142684936523, 0.013108704566955566, 0.014321016311645509, 0.014906612396240235, 0.01399205780029297, 0.013852700233459473, 0.014205817222595216, 0.013082305908203124, 0.01311414623260498, 0.01305478572845459, 0.01301446533203125, 0.01351622200012207, 0.013157344818115235, 0.013095266342163086, 0.013116544723510742, 0.013081185340881348, 0.01353686237335205, 0.013123105049133301, 0.013172703742980957, 0.013126145362854004, 0.013166784286499023, 0.013503902435302735, 0.013165664672851563, 0.013128223419189454, 0.013182945251464843, 0.013547901153564454, 0.013261504173278808 ] }, "throughput": { "unit": "samples/s", "value": 73.85127332980001 }, "energy": null, "efficiency": null } } }